Become a GenAI Architect and Enterprise AI Architect with practical experience designing enterprise AI solutions using LLMs, RAG, Agentic AI, AI platforms, security, governance, and enterprise architecture patterns.
This program is built for experienced technology professionals ready to move into GenAI and Enterprise AI Architecture roles.
Solution Architects
Enterprise Architects
Technical Architects
Technology Managers
Engineering Managers
Associate Directors
Directors
Digital Transformation Leaders
Senior IT Professionals
Technology Consultants
What Will You Learn?
Five topical pillars that take you from generative AI fundamentals to enterprise-grade, governed AI architecture.
Generative AI
LLM fundamentals
Foundation models
Prompt engineering
Model selection
Embeddings
Context engineering
Enterprise AI Architecture
AI reference architectures
Enterprise integration
AI application architecture
Data architecture
AI platform architecture
RAG
Retrieval architecture
Vector databases
Embeddings
Hybrid search
RAG evaluation
Enterprise knowledge systems
Agentic AI
AI agents
Tool calling
Agent workflows
Multi-agent systems
Agent orchestration
Human-in-the-loop architecture
AI Governance
AI security
Responsible AI
Privacy
Governance
Risk management
Model evaluation
The Key Differentiator
An Enterprise Architecture Focus, Not Just Prompting
This program covers the full path from business intent to running AI systems more valuable for an experienced architect than learning prompting or API usage alone.
Business
AI Use Case
Architecture
Data
Models
Applications
Integration
Security
Governance
Operations
Learn by Architecting Real Enterprise AI Solutions
This is what distinguishes an architecture program from a GenAI certification page.
Architecture workshops
Case-study analysis
Solution design
Architecture reviews
Trade-off analysis
Build vs. buy decisions
Technology evaluation
Cost considerations
Security considerations
Scalability
Production readiness
Build Your AI Architect Portfolio
Concrete evidence of what “practical experience” means six architecture deliverables you complete during the program.
01
Enterprise GenAI Reference Architecture
02
RAG-based Enterprise Knowledge Architecture
03
Agentic AI Solution Architecture
04
AI Security & Governance Framework
05
AI Platform Evaluation
06
Enterprise AI Consulting Proposal
From Technology Leader to AI Architect
A structured progression from where you are today to where enterprise AI roles are heading.
Current Experience
Technology / Solution / Enterprise Architect
GenAI Architecture Skills
LLMs → RAG → Agents → AI Platforms
Enterprise AI Architecture
Security → Governance → Integration → Production
Target Roles
GenAI Architect, Enterprise AI Architect, AI Solutions Architect, AI Platform Architect, Generative AI Consultant, Enterprise AI Consultant
Advanced Component
Build Your AI Consulting Capability
Beyond architecture skills, the accelerator prepares you to identify, propose, and lead enterprise AI engagements.
AI opportunity discovery
AI readiness assessment
Enterprise AI assessment
Use-case identification
Architecture consulting
Solution proposals
Client workshops
AI transformation roadmap
Consulting engagement structure
16-Week GenAI & Enterprise AI Architect Curriculum
A phase-by-phase architecture curriculum from foundations to the AI consulting accelerator.
01
AI & GenAI Architect Foundation
AI fundamentals for architects
GenAI landscape
Role of the AI architect
Industry use cases
02
LLM & Foundation Model Architecture
LLM fundamentals
Foundation models
Prompt engineering
Model selection
Embeddings
Context engineering
03
Enterprise GenAI Architecture
AI reference architectures
Enterprise integration
AI application architecture
AI platform architecture
04
RAG Architecture
Retrieval architecture
Vector databases
Hybrid search
RAG evaluation
Enterprise knowledge systems
05
Agentic AI Architecture
AI agents
Tool calling
Agent workflows
Multi-agent systems
Human-in-the-loop architecture
06
AI Platform & Cloud Architecture
AI platform architecture
Cloud AI services
Scalability patterns
Technology evaluation
07
AI Data Architecture
Data architecture for AI
Data pipelines
Data governance for AI
Enterprise data integration
08
AI Security & Governance
AI security
Responsible AI
Privacy
Governance
Risk management
09
AI Evaluation & Observability
Model evaluation
RAG evaluation
Observability
Monitoring in production
10
Production AI Architecture
Production readiness
Cost considerations
Build vs. buy decisions
Scalability
11
Enterprise AI Case Studies
Case-study analysis
Architecture reviews
Trade-off analysis
Real enterprise scenarios
12
Architecture Workshops
Solution design workshops
Peer architecture reviews
Stakeholder alignment exercises
13
AI Architecture Projects
Applied architecture assignments
Design documentation
Presentation & defence
14
Architect Portfolio
Enterprise GenAI Reference Architecture
RAG-based Enterprise Knowledge Architecture
Agentic AI Solution Architecture
AI Security & Governance Framework
AI Platform Evaluation
Enterprise AI Consulting Proposal
15
AI Consulting
AI opportunity discovery
Readiness assessment
Use-case identification
Solution proposals
16
Career & Consulting Accelerator
Client workshops
AI transformation roadmap
Consulting engagement structure
Career transition planning
Program Investment
Cohort-based pricing for working professionals and enterprise teams. All plans include live sessions, architecture reviews, mentor access, and a completion certificate.
Led by a practitioner mentor, not a slide-deck instructor.
VG
Vijay Gurunathan
Lead Mentor · Enterprise AI Architect · 15+ Years Industry Experience
Vijay brings enterprise architecture, enterprise technology, and digital transformation experience across banking, fintech, and product companies, along with hands-on GenAI and enterprise AI architecture work. His sessions connect every architectural concept to real enterprise decisions integration, governance, and trade-offs that go beyond model usage or prompting.
Enterprise AI ArchitectureGenAI ArchitectureRAG & Agentic AIAI GovernanceEnterprise ArchitectureDigital Transformation
Frequently Asked Questions
Everything you need to know about the GenAI & Enterprise AI Architect Program.
What is a GenAI Architect?
A GenAI Architect designs enterprise solutions that use generative AI technologies such as large language models, RAG, AI agents, and foundation models while addressing integration, security, governance, scalability, and operational requirements.
What does an Enterprise AI Architect do?
An Enterprise AI Architect defines how AI capabilities are integrated into an organization’s business, application, data, technology, and security architecture, ensuring AI initiatives align with enterprise strategy and governance.
Is coding required to become a GenAI Architect?
Deep software development skills are not the primary focus of this program. The program emphasizes architecture, technology evaluation, solution design, enterprise integration, governance, and consulting. Basic technical understanding is still important.
Who should take this program?
It is designed primarily for experienced architects, technology leaders, engineering leaders, consultants, and senior IT professionals transitioning into GenAI or Enterprise AI Architecture.
What is the difference between a GenAI Architect and an AI Engineer?
An AI Engineer typically focuses more on implementing AI systems, models, and applications, while an AI Architect focuses on the overall solution architecture, technology choices, integration, security, governance, scalability, and enterprise alignment.
How long is the GenAI & Enterprise AI Architect Program?
The program runs for 16 weeks, covering GenAI and enterprise AI architecture foundations, RAG, agentic AI, security and governance, production architecture, a capstone portfolio, and an AI consulting accelerator.
Is this program live or self-paced?
The program is delivered live and online with a mentor-led format, including architecture workshops, case-study discussions, and portfolio reviews. Sessions are recorded and available for the duration of the program.
What prior experience is required to join?
This program is built for professionals who already have experience as architects, technology managers, engineering leaders, or senior IT consultants. It is not an introductory programming course.
What will I have at the end of the program?
You will complete a portfolio of six architecture deliverables an enterprise GenAI reference architecture, a RAG-based knowledge architecture, an agentic AI solution architecture, an AI security and governance framework, an AI platform evaluation, and an enterprise AI consulting proposal.
Does the program cover AI consulting, or only architecture?
Both. The core curriculum covers GenAI and enterprise AI architecture in depth. An advanced AI Consulting Accelerator module then builds capability in opportunity discovery, readiness assessment, solution proposals, and client engagement.
How is this different from a general Generative AI course?
This program is architecture-first rather than prompting-first. It is built around enterprise integration, data architecture, security, governance, and production readiness the concerns an experienced architect actually owns, not just model usage.
What roles can this program prepare me for?
Graduates are positioned for roles such as GenAI Architect, Enterprise AI Architect, AI Solutions Architect, AI Platform Architect, Generative AI Consultant, and Enterprise AI Consultant.
Are cohorts limited in size?
Yes. Cohorts are kept small so that architecture reviews, workshops, and portfolio feedback can be personalized for each participant.
What is a GenAI Architect?
A GenAI Architect designs enterprise solutions that use generative AI technologies such as large language models, RAG, AI agents, and foundation models while addressing integration, security, governance, scalability, and operational requirements.
What does an Enterprise AI Architect do?
An Enterprise AI Architect defines how AI capabilities are integrated into an organization’s business, application, data, technology, and security architecture, ensuring AI initiatives align with enterprise strategy and governance.
Is coding required to become a GenAI Architect?
Deep software development skills are not the primary focus of this program. The program emphasizes architecture, technology evaluation, solution design, enterprise integration, governance, and consulting. Basic technical understanding is still important.
Who should take this program?
It is designed primarily for experienced architects, technology leaders, engineering leaders, consultants, and senior IT professionals transitioning into GenAI or Enterprise AI Architecture.
What is the difference between a GenAI Architect and an AI Engineer?
An AI Engineer typically focuses more on implementing AI systems, models, and applications, while an AI Architect focuses on the overall solution architecture, technology choices, integration, security, governance, scalability, and enterprise alignment.
How long is the GenAI & Enterprise AI Architect Program?
The program runs for 16 weeks, covering GenAI and enterprise AI architecture foundations, RAG, agentic AI, security and governance, production architecture, a capstone portfolio, and an AI consulting accelerator.
Is this program live or self-paced?
The program is delivered live and online with a mentor-led format, including architecture workshops, case-study discussions, and portfolio reviews. Sessions are recorded and available for the duration of the program.
What prior experience is required to join?
This program is built for professionals who already have experience as architects, technology managers, engineering leaders, or senior IT consultants. It is not an introductory programming course.
What will I have at the end of the program?
You will complete a portfolio of six architecture deliverables an enterprise GenAI reference architecture, a RAG-based knowledge architecture, an agentic AI solution architecture, an AI security and governance framework, an AI platform evaluation, and an enterprise AI consulting proposal.
Does the program cover AI consulting, or only architecture?
Both. The core curriculum covers GenAI and enterprise AI architecture in depth. An advanced AI Consulting Accelerator module then builds capability in opportunity discovery, readiness assessment, solution proposals, and client engagement.
How is this different from a general Generative AI course?
This program is architecture-first rather than prompting-first. It is built around enterprise integration, data architecture, security, governance, and production readiness the concerns an experienced architect actually owns, not just model usage.
What roles can this program prepare me for?
Graduates are positioned for roles such as GenAI Architect, Enterprise AI Architect, AI Solutions Architect, AI Platform Architect, Generative AI Consultant, and Enterprise AI Consultant.
Are cohorts limited in size?
Yes. Cohorts are kept small so that architecture reviews, workshops, and portfolio feedback can be personalized for each participant.
Ready to Become a GenAI & Enterprise AI Architect?
Join the next cohort of CraftVoy's GenAI & Enterprise AI Architect Executive Program. Small cohorts, real architecture practice.